from utils import print_time_report, print_results, plot_results, print_profiling_links
print_time_report()
| hour | min | sec | |
|---|---|---|---|
| algo | |||
| KNeighborsClassifier | 0 | 13 | 6 |
| daal4py_KNeighborsClassifier | 0 | 2 | 59 |
| KNeighborsClassifier_kd_tree | 0 | 5 | 9 |
| daal4py_KNeighborsClassifier_kd_tree | 0 | 1 | 24 |
| KMeans | 0 | 10 | 42 |
| daal4py_KMeans | 0 | 6 | 29 |
| total | 0 | 39 | 50 |
print_results(algo="KNeighborsClassifier", versus_lib="daal4py")
plot_results(algo="KNeighborsClassifier", versus_lib="daal4py", group_by_cols=["algorithm", "n_neighbors", "function"], split_hist_by=["n_jobs"])
print_profiling_links(algo="KNeighborsClassifier", versus_lib="daal4py")
print_results(algo="KNeighborsClassifier_kd_tree", versus_lib="daal4py")
plot_results(algo="KNeighborsClassifier_kd_tree", versus_lib="daal4py", group_by_cols=["algorithm", "n_neighbors", "function"], split_hist_by=["n_jobs"])
print_results(algo="KMeans", versus_lib="daal4py", compare_cols=["n_iter", "adjusted_rand_score"])
plot_results(algo="KMeans", versus_lib="daal4py", group_by_cols=["algorithm", "init", "max_iter", "n_clusters", "n_init", "tol", "function"], compare_cols=["n_iter", "adjusted_rand_score"])